Python Engineer

What will be your tasks?

• Develop components that power our PaaS services.
• Design solutions for multi-tenant environments and large-scale systems.
• Work with the Product Manager to turn business needs into practical technical solutions.
• Build prototypes and proofs of concept for new ideas.
• Improve existing code and implement new components.
• Make technical decisions with security, scalability, reliability and maintainability in mind.
• Maintain code quality through reviews, automated tests, refactoring and sound engineering practices.
• Investigate complex issues across PaaS services, shared services and cloud infrastructure.
• Collaborate with other engineering teams.
• Create and maintain documentation and technical standards.

We expect from you:

• Strong Python skills and hands-on experience with at least one framework, such as FastAPI, Flask or Django.
• Experience designing REST APIs, including CRUD operations, error handling, data validation and versioning.
• Experience building data persistence layers with PostgreSQL and Redis, including data modelling and migrations.
• Enough Kubernetes experience to deploy, configure and troubleshoot your own service independently.
• Confidence using AI development tools, such as Claude Code or Copilot, as part of your everyday engineering workflow.

An additional advantage will be:

• Experience with Go.
• Familiarity with Linux and cloud environments.
• Experience building distributed solutions for multi-tenant or large-scale systems.
• Experience containerising applications with Docker and building CI/CD pipelines.
• Knowledge of observability practices, including structured logging, metrics and distributed tracing.
• Full-stack engineering experience.

What do we offer?

• Work with purpose. Help develop a cloud platform supporting Europe’s space sector, climate research and scientific projects.
• Join a team with room to shape things. Work in a newly formed, autonomous team backed by the resources and stability of an established organisation.
• Use cloud-native technology in production. Work with Kubernetes, Knative, Cilium, Argo CD, Kubeflow and other open-source projects, with opportunities to contribute to them.
• Have a real say. Take part in architectural and product decisions that shape the platform.
• Make AI tools part of your workflow. We use tools such as Claude Code in our day-to-day engineering work.
• Work with flexibility and stability. Enjoy autonomy in how you organise your work, clear ways of working and attractive compensation.
• Take care of yourself. Benefit from private healthcare, a Multisport card and life insurance.
• Keep learning. Take advantage of language classes.